Merge branch 'main' into tadasant/add-pulsemcp

README.md

@@ -10,7 +10,7 @@ Each MCP server is implemented with either the [Typescript MCP SDK](https://gith
 
 These servers aim to demonstrate MCP features and the Typescript and Python SDK.
 
-- **[AWS KB Retrieval](src/aws-kb-retrieval)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
+- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
 - **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
 - **[EverArt](src/everart)** - AI image generation using various models
 - **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
@@ -52,6 +52,7 @@ A growing set of community-developed and maintained servers demonstrates various
 > **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
 
 - **[MCP Installer](https://github.com/anaisbetts/mcp-installer)** - This server is a server that installs other MCP servers for you.
+- **[NS Travel Information](https://github.com/r-huijts/ns-mcp-server)** - Access Dutch Railways (NS) real-time train travel information and disruptions through the official NS API.
 - **[Spotify](https://github.com/varunneal/spotify-mcp)** - This MCP allows an LLM to play and use Spotify. 
 - **[Inoyu](https://github.com/sergehuber/inoyu-mcp-unomi-server)** - Interact with an Apache Unomi CDP customer data platform to retrieve and update customer profiles
 - **[Snowflake](https://github.com/datawiz168/mcp-snowflake-service)** - This MCP server enables LLMs to interact with Snowflake databases, allowing for secure and controlled data operations.
@@ -75,6 +76,8 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[OpenAPI](https://github.com/snaggle-ai/openapi-mcp-server)** - Interact with [OpenAPI](https://www.openapis.org/) APIs.
 - **[Pandoc](https://github.com/vivekVells/mcp-pandoc)** - MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, and plain text, with other formats like PDF, csv and docx in development. 
 - **[HuggingFace Spaces](https://github.com/evalstate/mcp-hfspace)** - Server for using HuggingFace Spaces, supporting Open Source Image, Audio, Text Models and more. Claude Desktop mode for easy integration.
+- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
+- **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
 
 ## 📚 Resources
 
@@ -87,6 +90,7 @@ Additional resources on MCP.
 - **[mcp-get](https://mcp-get.com)** - Command line tool for installing and managing MCP servers by **[Michael Latman](https://github.com/michaellatman)**
 - **[mcp-cli](https://github.com/wong2/mcp-cli)** - A CLI inspector for the Model Context Protocol by **[wong2](https://github.com/wong2)**
 - **[r/mcp](https://www.reddit.com/r/mcp)** – A Reddit community dedicated to MCP by **[Frank Fiegel](https://github.com/punkpeye)**
+- **[mcp-manager](https://github.com/zueai/mcp-manager)** - Simple Web UI to install and manage MCP servers for Claude Desktop by **[Zue](https://github.com/zueai)**
 - **[PulseMCP](https://www.pulsemcp.com)** - An aggregated, searchable directory of MCP servers and other resources by **[Tadas Antanavicius](https://github.com/tadasant)**, **[Mike Coughlin](https://github.com/macoughl)**, and **[Ravina Patel](https://github.com/ravinahp)**
 
 ## 🚀 Getting Started

src/filesystem/index.ts

@@ -127,6 +127,10 @@ const ListDirectoryArgsSchema = z.object({
   path: z.string(),
 });
 
+const DirectoryTreeArgsSchema = z.object({
+  path: z.string(),
+});
+
 const MoveFileArgsSchema = z.object({
   source: z.string(),
   destination: z.string(),
@@ -383,6 +387,15 @@ server.setRequestHandler(ListToolsRequestSchema, async () => {
           "finding specific files within a directory. Only works within allowed directories.",
         inputSchema: zodToJsonSchema(ListDirectoryArgsSchema) as ToolInput,
       },
+      {
+        name: "directory_tree",
+        description:
+            "Get a recursive tree view of files and directories as a JSON structure. " +
+            "Each entry includes 'name', 'type' (file/directory), and 'children' for directories. " +
+            "Files have no children array, while directories always have a children array (which may be empty). " +
+            "The output is formatted with 2-space indentation for readability. Only works within allowed directories.",
+        inputSchema: zodToJsonSchema(DirectoryTreeArgsSchema) as ToolInput,
+      },
       {
         name: "move_file",
         description:
@@ -517,6 +530,49 @@ server.setRequestHandler(CallToolRequestSchema, async (request) => {
         };
       }
 
+        case "directory_tree": {
+            const parsed = DirectoryTreeArgsSchema.safeParse(args);
+            if (!parsed.success) {
+                throw new Error(`Invalid arguments for directory_tree: ${parsed.error}`);
+            }
+
+            interface TreeEntry {
+                name: string;
+                type: 'file' | 'directory';
+                children?: TreeEntry[];
+            }
+
+            async function buildTree(currentPath: string): Promise<TreeEntry[]> {
+                const validPath = await validatePath(currentPath);
+                const entries = await fs.readdir(validPath, {withFileTypes: true});
+                const result: TreeEntry[] = [];
+
+                for (const entry of entries) {
+                    const entryData: TreeEntry = {
+                        name: entry.name,
+                        type: entry.isDirectory() ? 'directory' : 'file'
+                    };
+
+                    if (entry.isDirectory()) {
+                        const subPath = path.join(currentPath, entry.name);
+                        entryData.children = await buildTree(subPath);
+                    }
+
+                    result.push(entryData);
+                }
+
+                return result;
+            }
+
+            const treeData = await buildTree(parsed.data.path);
+            return {
+                content: [{
+                    type: "text",
+                    text: JSON.stringify(treeData, null, 2)
+                }],
+            };
+        }
+
       case "move_file": {
         const parsed = MoveFileArgsSchema.safeParse(args);
         if (!parsed.success) {

src/github/schemas.ts

@@ -274,7 +274,7 @@ export const GitHubIssueSchema = z.object({
   created_at: z.string(),
   updated_at: z.string(),
   closed_at: z.string().nullable(),
-  body: z.string(),
+  body: z.string().nullable(),
 });
 
 // Pull Request related schemas